Brinkhof, S.; Ali Haghnejad, A.; Ito, K.; Markenroth Bloch, K.; Klomp, D. W.J.(John Wiley and Sons Ltd, 2019-11-01)
Sodium imaging is able to assess changes in ion content, linked to glycosaminoglycan content, which is important to guide orthopeadic procedures such as articular cartilage repair. Sodium imaging is ideally performed using ...
Wilson, Martin; Andronesi, Ovidiu; Barker, Peter B.; Bartha, Robert; Bizzi, Alberto; Bolan, Patrick J.; Brindle, Kevin M.; Choi, In Young; Cudalbu, Cristina; Dydak, Ulrike; Emir, Uzay E.; Gonzalez, Ramon G.; Gruber, Stephan; Gruetter, Rolf; Gupta, Rakesh K.; Heerschap, Arend; Henning, Anke; Hetherington, Hoby P.; Huppi, Petra S.; Hurd, Ralph E.; Kantarci, Kejal; Kauppinen, Risto A.; Klomp, Dennis W.J.; Kreis, Roland; Kruiskamp, Marijn J.; Leach, Martin O.; Lin, Alexander P.; Luijten, Peter R.; Marjańska, Małgorzata; Maudsley, Andrew A.; Meyerhoff, Dieter J.; Mountford, Carolyn E.; Mullins, Paul G.; Murdoch, James B.; Nelson, Sarah J.; Noeske, Ralph; Öz, Gülin; Pan, Julie W.; Peet, Andrew C.; Poptani, Harish; Posse, Stefan; Ratai, Eva Maria; Salibi, Nouha; Scheenen, Tom W.J.; Smith, Ian C.P.; Soher, Brian J.; Tkáč, Ivan; Vigneron, Daniel B.; Howe, Franklyn A.(John Wiley and Sons Inc., 2019-08-01)
Proton MRS ( 1 H MRS) provides noninvasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Although most modern clinical MR scanners support MRS ...
van Houtum, Q.; Welting, D.; Gosselink, W. J.M.; Klomp, D. W.J.; Arteaga de Castro, C. S.; van der Kemp, W. J.M.(John Wiley and Sons Ltd, 2019-12-01)
Phosphorus (31P) MRSI provides opportunities to monitor potential biomarkers. However, current applications of 31P MRS are generally restricted to relatively small volumes as small coils are used. Conventional surface coils ...
Mandija, Stefano; Meliadò, Ettore F.; Huttinga, Niek R.F.; Luijten, Peter R.; van den Berg, Cornelis A.T.(Nature Publishing Group, 2019-06-20)
In the radiofrequency (RF) range, the electrical properties of tissues (EPs: conductivity and permittivity) are modulated by the ionic and water content, which change for pathological conditions. Information on tissues EPs ...
Krikken, Erwin; van der Kemp, Wybe J.M.; Khlebnikov, Vitaliy; van Dalen, Thijs; Los, Maartje; van Laarhoven, Hanneke W.M.; Luijten, Peter R.; van den Bosch, Maurice A.A.J.; Klomp, Dennis W.J.; Wijnen, Jannie P.(John Wiley and Sons Ltd, 2019-08-01)
Purpose: Metabolic MRI is a noninvasive technique that can give new insights into understanding cancer metabolism and finding biomarkers to evaluate or monitor treatment plans. Using this technique, a previous study has ...
van Amsterdam, W. A. C.; Verhoeff, J. J. C.; de Jong, P. A.; Leiner, T.; Eijkemans, M. J. C.(2019-12-10)
Deep learning has shown remarkable results for image analysis and is expected to aid individual treatment decisions in health care. Treatment recommendations are predictions with an inherently causal interpretation. To use ...
Pontone, Gianluca; De Cecco, Carlo; Baggiano, Andrea; Guaricci, Andrea I.; Guglielmo, Marco; Leiner, Tim; Lima, Joao; Maurovich-Horvat, Pál; Muscogiuri, Giuseppe; Nance, John W.; Schoepf, U. Joseph(Elsevier Ireland Ltd, 2019-10-01)
Background: CT myocardial perfusion imaging (CTP) represents one of the newly developed CT-based techniques but its cost-effectiveness in the clinical pathway is undefined. The aim of the study is to evaluate the usefulness ...
Litjens, G.; Ciompi, Francesco; Wolterink, Jelmer M.; de Vos, B. D.; Leiner, Tim; Teuwen, J.; Išgum, I.(Elsevier Inc., 2019-08-01)
Cardiovascular imaging is going to change substantially in the next decade, fueled by the deep learning revolution. For medical professionals, it is important to keep track of these developments to ensure that deep learning ...
Siegersma, K. R.; Leiner, T.; Chew, D. P.; Appelman, Y.; Hofstra, L.; Verjans, J. W.(Bohn Stafleu van Loghum, 2019-09-01)
Healthcare, conceivably more than any other area of human endeavour, has the greatest potential to be affected by artificial intelligence (AI). This potential has been shown by several reports that demonstrate equal or ...
Benjamins, J. W.; van Leeuwen, K.; Hofstra, L.; Rienstra, M.; Appelman, Y.; Nijhof, W.; Verlaat, B.; Everts, I.; den Ruijter, H. M.; Isgum, I.; Leiner, T.; Vliegenthart, R.; Asselbergs, F. W.; Juarez-Orozco, L. E.; van der Harst, P.(Bohn Stafleu van Loghum, 2019-09-01)
Background: Machine learning (ML) allows the exploration and progressive improvement of very complex high-dimensional data patterns that can be utilised to optimise specific classification and prediction tasks, outperforming ...
This editorial refers to 'Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography'.
De Vis, Jill B.; Song, Sunbin; Luby, Marie; Dankbaar, Jan Willem; Glen, Daniel; Reynolds, Richard; Velthuis, Brigitta K.; Kroon, Wouter; Latour, Lawrence L.; Bokkers, Reinoud P.H.(Springer Verlag, 2019-08-01)
Objectives: Deconvolution-derived maps of CT perfusion (CTP) data may be confounded by transit delays. We propose temporal similarity perfusion (TSP) analysis to decrease CTP maps’ dependence on transit times and investigate ...
Glitzner, M.; Woodhead, P. L.; Borman, P. T.S.; Lagendijk, J. J.W.; Raaymakers, B. W.(2019-08-01)
Recently, multileaf collimator (MLC)-tracking has been technically and clinically demonstrated showing promising improvements of radiotherapy of mobile sites. Furthermore, magnetic resonance imaging (MRI)-guided treatments ...
Borman, P. T.S.; Raaymakers, B. W.; Glitzner, M.(2019-09-17)
With the recent advent of hybrid MRI-guided radiotherapy systems, continuous intra-fraction MR imaging for motion monitoring has become feasible. The ability to perform real-time custom image reconstructions is however ...
Damen, Mariska; van Leeuwen, Maarten; Webb, Andrew; Klomp, Dennis; de Castro, Catalina Arteaga(2019-12-01)
Objective: To determine T1 and T2 relaxation times of healthy pancreas parenchyma at 7 T using a multi-transmit system. Materials and methods: Twenty-six healthy subjects were scanned with a 7 T MR system using eight ...
van Hespen, Kees M.; Zwanenburg, Jaco J.M.; Harteveld, Anita A.; Luijten, Peter R.; Hendrikse, Jeroen; Kuijf, Hugo J.(Lippincott Williams and Wilkins, 2019-10-01)
Cheplygina, Veronika; de Bruijne, Marleen; Pluim, Josien P.W.(Elsevier, 2019-05-01)
Machine learning (ML) algorithms have made a tremendous impact in the field of medical imaging. While medical imaging datasets have been growing in size, a challenge for supervised ML algorithms that is frequently mentioned ...